醫(yī)學(xué)文獻(xiàn)的使用指南 Users＇Guides to the Medical Literature

內(nèi)容概要

From the popular series in JAMA comes a state of the art book from the authors who coined the term evidence-based medicine. Edited by Gordon Guyatt, MD, and Drummond Rennie, MD, this highly innovative book enables physicians to quickly grasp efficient ways to use published literature in their clinical practice to improve their caregiving to patients. A fully searchable and hyperlinked CD, co-edited by Robert Hayward, MD, is included with each book. With the most current evidence based medicine thinking, you can understand how to individualize evidence to each patient, obtain tips on how to find the information you need and how to make the optimal use of it in your practice, balance benefits and risks that precede medical management decisions, distinguish between strong and weak evidence, and understand detailed critical appraisal and summarization of evidence.

書籍目錄

ForewordPrefaceContributorsHow to Use This BookPart 1 The Basics：Using the Medical Literature  1A Introduction：The Philosophy of Evidence-Based Medicine  1A1 Finding the Evidence  1B Therapy and Harm：An Introduction  1B1 Therapy  1B2 Harm  1C The Process of Diagnosis  1c1 Differential Diagnosis  1C2 Diagnostic Tests  1D Prognosis  1E Summarizing the Evidence  1F Moving From Evidence to ActionPart 2 Beyond the Basics：Using and Teaching the Principles of Evidence-Based Medicine  2A Expanded Philosophy of Evidence—Based Medicine    　Parallel but Separate Goals--Evidence—Based    　Practitioners and Evidence-Based Care    　Criticisms of Evidence-Based Medicine　2B Therapy and Harm    Why Study Results Mislead--Bias and Random Error    Outcomes of Health Services  2B1 Therapy and Validity    Surprising Results of Randomized Controlled Trials    The Principle of Intention-to-Treat    N of l Randomized Controlled Trials    Computer Decision Support Systems  2B2 Therapy and Understanding the Results    Quality of Life    Hypothesis Testing    Confidence Intervals．．．．    Measures of Association　2B3 Therapy and Applying the Results    Applying Results to Individual Patients    Example Numbers Needed to Treat    Surrogate Outcomes    Drug Class Effects    Qualitative Research　2C Diagnosis    Clinical Manifestations of Disease    Measuring Agreement Beyond Chance    Clinical Prediction Rules    Examples of Likelihood Ratios　2D Prognosis    Regression and Correlation　2E Summarizing the Evidence    Publication Bias    Fixed-Effects and Random—Effects Models    Evaluating Differences in Study Results    When to Believe a Subgroup Analysis　2F Moving From Evidence to Action    Incorporating Patient Values    Recommendations About Screening    Grading Recommendations-A Qualitative Approach    Grading Recommendations-A Quantitative Approach    Economic Analysis    Clinical Utilization ReviewAppendixGlossaryCD—ROM Installation InstructionsIndex

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